5 papers
Instance Segmentation of Microscopic Foraminifera
Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen +1
Foraminifera are single-celled marine organisms that construct shells that remain as fossils in the marine sediments. Classifying and counting these fossils are important in e.g. p…
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Mike Voets, Kajsa Møllersen, Lars Ailo Bongo
Replication studies are essential for validation of new methods, and are crucial to maintain the high standards of scientific publications, and to use the results in practice. We h…
A bag-to-class divergence approach to multiple-instance learning
Kajsa Møllersen, Jon Yngve Hardeberg, Fred Godtliebsen
In multi-instance (MI) learning, each object (bag) consists of multiple feature vectors (instances), and is most commonly regarded as a set of points in a multidimensional space. A…
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
Kajsa Møllersen, Maciel Zortea, Thomas R. Schopf +2
Melanoma is the deadliest form of skin cancer. Computer systems can assist in melanoma detection, but are not widespread in clinical practice. In 2016, an open challenge in classif…
Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images
Kajsa Møllersen, Herbert Kirchesch, Maciel Zortea +3
Commercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only. Correct use of the systems requires expert k…